Text Classification
Transformers
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use DayCardoso/modern-bert-seq-class-values-no-context_plus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DayCardoso/modern-bert-seq-class-values-no-context_plus with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DayCardoso/modern-bert-seq-class-values-no-context_plus")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DayCardoso/modern-bert-seq-class-values-no-context_plus") model = AutoModelForSequenceClassification.from_pretrained("DayCardoso/modern-bert-seq-class-values-no-context_plus", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from DayCardoso/modern-bert-seq-class-values-no-context_plus: direct link, hf CLI and curl.
- Browser
- Download file 5.43 kB
-
https://huggingface.co/DayCardoso/modern-bert-seq-class-values-no-context_plus/resolve/main/training_args.bin
- Command line
-
hf download hf://DayCardoso/modern-bert-seq-class-values-no-context_plus/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/DayCardoso/modern-bert-seq-class-values-no-context_plus/resolve/main/training_args.bin
5.43 kB
- Xet hash:
- 42840bb0040d794862fd845c12b00a6799a55e1d016c9de1cb79019d40766cd2
- Size of remote file:
- 5.43 kB
- SHA256:
- d0703c57c6b362efed9fc0daf2257535d2ec4e9cd89477de47675472fa15c189
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